code: def __init__(
      self, axis=1, dropout=0.0, prefix=None, params=None, **kwargs
  ):
      super(MeanMaxPooling, self).__init__(**kwargs)
      # super().__init__(prefix=prefix, params=params)
      self.axis = axis
      self.dropout = dropout
  
file_path: analytics-zoo/pyzoo/zoo/models/recommendation/txt.py
imports: from mxnet import gluon
  from gluonnlp.model.transformer import TransformerEncoder, TransformerEncoderCell
label_desc: Use image node_id 1 to create a new MeanMaxPooling object from inherited base classes: gluon.nn with example: obj = MeanMaxPooling(axis, dropout, prefix, params)